---
title: "Dashboard"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    vertical_layout: fill
    source: embed
---

```{r setup, include=FALSE}

library(flexdashboard)

library(tidyverse)
library(plotly)

library(p8105.datasets)

data("instacart")
instacart = 
  instacart %>% 
  as_tibble(instacart)
```

Column {data-width=400}
-----------------------------------------------------------------------

### Number of every kind of product ordered in milk aisle (at least 500 orderd)

```{r}

instacart %>% 
  filter(aisle == "milk") %>%
  group_by(aisle, product_name) %>%
  summarize(n = n()) %>% 
  filter(n >= 500) %>%
  mutate(product_name = fct_reorder(product_name, n)) %>% 
  mutate(text_label = str_c("Aisle: ", aisle)) %>% 
  plot_ly(x = ~product_name, y = ~n, color = ~product_name, text = ~text_label, type = "bar", colors = "viridis")

```

Column {data-width=300}
-----------------------------------------------------------------------

### Days since prior order of each aisle in snacks department

```{r }

instacart %>% 
  filter(reordered == 1) %>%
  filter(department == "snacks") %>%
  mutate(aisle = fct_reorder(aisle, days_since_prior_order)) %>%
  plot_ly(y = ~days_since_prior_order, color = ~aisle, type = "box", colors = "viridis")

```

### Number of each kind of products ordered in fresh fruits aisle over a day

```{r }
instacart %>% 
  filter(aisle == "fresh fruits") %>%
  group_by(order_hour_of_day, product_name) %>%
  summarize(n = n()) %>%
  mutate(text_label = str_c("Product name: ", product_name)) %>% 
  plot_ly(
    x = ~order_hour_of_day, y = ~n, type = "scatter", mode = "markers",
    color = ~product_name, text = ~text_label, alpha = 0.6)
```